Abstract
One of the major challenges of designing heterogeneous reconfigurable systems is to obtain the maximum system performance with efficient utilization of the reconfigurable logic resources. To accomplish this, it is essential to perform design space exploration (DSE) at the early design stages. System-level simulation is used to estimate the performance of the system and to make early decisions of various design parameters in order to obtain an optimal system that satisfies the given constraints. Towards this goal, in this paper, we develop a model, which can assist designers at the system-level DSE stage to explore the utilization of the reconfigurable resources and evaluate the relative impact of certain design choices. A case study of a real application shows that the model can be used to explore various design parameters by evaluating the system performance for different application-to-architecture mappings.
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References
Noguera, J., Badia, R.M.: System-level power-performance trade-offs in task scheduling for dynamically reconfigurable architectures. In: CASES 2003: Proceedings of the 2003 international conference on Compilers, architecture and synthesis for embedded systems, pp. 73–83. ACM, New York (2003)
Hsiung, P., Lin, S., Chen, Y., Huang, C.: Perfecto: A SystemC-based performance evaluation framework for dynamically partially reconfigurable systems. In: FPL 2006: Proceedings of the Conference on Field Programmable Logic and Applications, pp. 1–6. IEEE, Los Alamitos (2006)
Rissa, T., Vasilko, M., Niittylahti, J.: System-level modelling and implementation technique for run-time reconfigurable systems. In: FCCM 2002: Proceedings of the 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines, p. 295. IEEE Computer Society, Washington (2002)
Qu, Y., Soininen, J.P.: Systemc-based design methodology for reconfigurable system-on-chip. In: DSD 2005: Proceedings of the 8th Euromicro Conference on Digital System Design, pp. 364–371. IEEE Computer Society, Washington (2005)
Erbas, C., Pimentel, A.D., Thompson, M., Polstra, S.: A framework for system-level modeling and simulation of embedded systems architectures. EURASIP J. Embedded Syst. 2007(1) (2007)
Vassiliadis, S., Wong, S., Gaydadjiev, G.N., Bertels, K., Kuzmanov, G., Panainte, E.M.: The molen polymorphic processor. IEEE Transactions on Computers 53(11), 1363–1375 (2004)
Vassiliadis, S., Gaydadjiev, G.N., Bertels, K., Panainte, E.M.: The molen programming paradigm. In: SAMOS 2003: Proceedings of the Third International Workshop on Systems, Architectures, Modeling, and Simulation, pp. 1–10 (July 2003)
Kahn, G.: The semantics of a simple language for parallel programming. In: Proc. of the IFIP Congress 74 (1974)
Pimentel, A.D., Thompson, M., Polstra, S., Erbas, C.: Calibration of abstract performance models for system-level design space exploration. Journal of Signal Processing Systems for Signal, Image, and Video Technology 50(2), 99–114 (2008)
Verdoolaege, S., Nikolov, H., Stefanov, T.: PN: a tool for improved derivation of process networks. EURASIP Journal on Embedded Systems 2007(1), 13 (2007)
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Sigdel, K., Thompson, M., Pimentel, A.D., Stefanov, T., Bertels, K. (2008). System-Level Design Space Exploration of Dynamic Reconfigurable Architectures. In: Bereković, M., Dimopoulos, N., Wong, S. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2008. Lecture Notes in Computer Science, vol 5114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70550-5_31
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DOI: https://doi.org/10.1007/978-3-540-70550-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70549-9
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